Profiling of the dataset

Dataset statistics

Number of variables	20
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	160.0 B

Variable types

Numeric	10
Categorical	8
Boolean	2

Alerts

`Person ID` is uniformly distributed	Uniform
`Person ID` has unique values	Unique
`Years of Work Experience` has 959 (9.6%) zeros	Zeros

Reproduction

Analysis started	2025-02-05 21:53:32.882766
Analysis finished	2025-02-05 21:53:39.894411
Duration	7.01 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

Person ID
Real number (ℝ)

Uniform Unique

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5000.5

Minimum	1
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1
5-th percentile	500.95
Q1	2500.75
median	5000.5
Q3	7500.25
95-th percentile	9500.05
Maximum	10000
Range	9999
Interquartile range (IQR)	4999.5

Descriptive statistics

Standard deviation	2886.8957
Coefficient of variation (CV)	0.5773214
Kurtosis	-1.2
Mean	5000.5
Median Absolute Deviation (MAD)	2500
Skewness	0
Sum	50005000
Variance	8334166.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9984	1	< 0.1%
9983	1	< 0.1%
9982	1	< 0.1%
9981	1	< 0.1%
9980	1	< 0.1%
9979	1	< 0.1%
9978	1	< 0.1%
9977	1	< 0.1%
9976	1	< 0.1%
9975	1	< 0.1%
Other values (9990)	9990	99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
9999	1	< 0.1%
9998	1	< 0.1%
9997	1	< 0.1%
9996	1	< 0.1%
9995	1	< 0.1%
9994	1	< 0.1%
9993	1	< 0.1%
9992	1	< 0.1%
9991	1	< 0.1%

Age
Real number (ℝ)

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.4943

Minimum	21
Maximum	34
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	24
median	27
Q3	31
95-th percentile	34
Maximum	34
Range	13
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.0318225
Coefficient of variation (CV)	0.14664212
Kurtosis	-1.2138345
Mean	27.4943
Median Absolute Deviation (MAD)	3
Skewness	-0.0017594927
Sum	274943
Variance	16.255593
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
33	755	7.5%
26	745	7.4%
32	735	7.3%
21	734	7.3%
30	733	7.3%
27	719	7.2%
23	715	7.1%
25	709	7.1%
28	709	7.1%
24	704	7.0%
Other values (4)	2742	27.4%

Value	Count	Frequency (%)
21	734	7.3%
22	696	7.0%
23	715	7.1%
24	704	7.0%
25	709	7.1%
26	745	7.4%
27	719	7.2%
28	709	7.1%
29	689	6.9%
30	733	7.3%

Value	Count	Frequency (%)
34	681	6.8%
33	755	7.5%
32	735	7.3%
31	676	6.8%
30	733	7.3%
29	689	6.9%
28	709	7.1%
27	719	7.2%
26	745	7.4%
25	709	7.1%

Gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Male	5073
Female	4460
Other	467

Length

Max length	6
Median length	4
Mean length	4.9387
Min length	4

Characters and Unicode

Total characters	49387
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Female
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	5073	50.7%
Female	4460	44.6%
Other	467	4.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	5073	50.7%
female	4460	44.6%
other	467	4.7%

Most occurring characters

Value	Count	Frequency (%)
e	14460	29.3%
a	9533	19.3%
l	9533	19.3%
M	5073	10.3%
F	4460	9.0%
m	4460	9.0%
O	467	0.9%
t	467	0.9%
h	467	0.9%
r	467	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49387	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	14460	29.3%
a	9533	19.3%
l	9533	19.3%
M	5073	10.3%
F	4460	9.0%
m	4460	9.0%
O	467	0.9%
t	467	0.9%
h	467	0.9%
r	467	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49387	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	14460	29.3%
a	9533	19.3%
l	9533	19.3%
M	5073	10.3%
F	4460	9.0%
m	4460	9.0%
O	467	0.9%
t	467	0.9%
h	467	0.9%
r	467	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49387	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	14460	29.3%
a	9533	19.3%
l	9533	19.3%
M	5073	10.3%
F	4460	9.0%
m	4460	9.0%
O	467	0.9%
t	467	0.9%
h	467	0.9%
r	467	0.9%

Undergraduate Major
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Economics	2082
Science	2065
Arts	1955
Engineering	1952
Business	1946

Length

Max length	11
Median length	8
Mean length	7.8053
Min length	4

Characters and Unicode

Total characters	78053
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Arts
2nd row	Arts
3rd row	Business
4th row	Engineering
5th row	Business

Common Values

Value	Count	Frequency (%)
Economics	2082	20.8%
Science	2065	20.6%
Arts	1955	19.6%
Engineering	1952	19.5%
Business	1946	19.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
economics	2082	20.8%
science	2065	20.6%
arts	1955	19.6%
engineering	1952	19.5%
business	1946	19.5%

Most occurring characters

Value	Count	Frequency (%)
n	11949	15.3%
i	9997	12.8%
e	9980	12.8%
s	9875	12.7%
c	8294	10.6%
o	4164	5.3%
E	4034	5.2%
r	3907	5.0%
g	3904	5.0%
m	2082	2.7%
Other values (5)	9867	12.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	78053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	11949	15.3%
i	9997	12.8%
e	9980	12.8%
s	9875	12.7%
c	8294	10.6%
o	4164	5.3%
E	4034	5.2%
r	3907	5.0%
g	3904	5.0%
m	2082	2.7%
Other values (5)	9867	12.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	78053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	11949	15.3%
i	9997	12.8%
e	9980	12.8%
s	9875	12.7%
c	8294	10.6%
o	4164	5.3%
E	4034	5.2%
r	3907	5.0%
g	3904	5.0%
m	2082	2.7%
Other values (5)	9867	12.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	78053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	11949	15.3%
i	9997	12.8%
e	9980	12.8%
s	9875	12.7%
c	8294	10.6%
o	4164	5.3%
E	4034	5.2%
r	3907	5.0%
g	3904	5.0%
m	2082	2.7%
Other values (5)	9867	12.6%

Undergraduate GPA
Real number (ℝ)

Distinct	201
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.991611

Minimum	2
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	2
5-th percentile	2.1
Q1	2.49
median	2.99
Q3	3.48
95-th percentile	3.9
Maximum	4
Range	2
Interquartile range (IQR)	0.99

Descriptive statistics

Standard deviation	0.57350877
Coefficient of variation (CV)	0.19170566
Kurtosis	-1.1871338
Mean	2.991611
Median Absolute Deviation (MAD)	0.49
Skewness	0.019692306
Sum	29916.11
Variance	0.32891231
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.77	71	0.7%
2.43	70	0.7%
2.82	69	0.7%
3.64	68	0.7%
3.29	65	0.7%
3.32	63	0.6%
2.12	63	0.6%
2.19	63	0.6%
2.52	62	0.6%
2.05	62	0.6%
Other values (191)	9344	93.4%

Value	Count	Frequency (%)
2	20	0.2%
2.01	39	0.4%
2.02	57	0.6%
2.03	34	0.3%
2.04	55	0.5%
2.05	62	0.6%
2.06	55	0.5%
2.07	44	0.4%
2.08	46	0.5%
2.09	49	0.5%

Value	Count	Frequency (%)
4	28	0.3%
3.99	50	0.5%
3.98	52	0.5%
3.97	43	0.4%
3.96	49	0.5%
3.95	43	0.4%
3.94	54	0.5%
3.93	46	0.5%
3.92	47	0.5%
3.91	54	0.5%

Years of Work Experience
Real number (ℝ)

Zeros

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5335

Minimum	0
Maximum	9
Zeros	959
Zeros (%)	9.6%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8616598
Coefficient of variation (CV)	0.63122527
Kurtosis	-1.2150048
Mean	4.5335
Median Absolute Deviation (MAD)	2
Skewness	-0.009684588
Sum	45335
Variance	8.1890967
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6	1040	10.4%
9	1025	10.2%
3	1012	10.1%
7	1009	10.1%
2	1002	10.0%
4	996	10.0%
5	995	10.0%
1	984	9.8%
8	978	9.8%
0	959	9.6%

Value	Count	Frequency (%)
0	959	9.6%
1	984	9.8%
2	1002	10.0%
3	1012	10.1%
4	996	10.0%
5	995	10.0%
6	1040	10.4%
7	1009	10.1%
8	978	9.8%
9	1025	10.2%

Value	Count	Frequency (%)
9	1025	10.2%
8	978	9.8%
7	1009	10.1%
6	1040	10.4%
5	995	10.0%
4	996	10.0%
3	1012	10.1%
2	1002	10.0%
1	984	9.8%
0	959	9.6%

Current Job Title
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Entrepreneur	2034
Analyst	2006
Engineer	2003
Consultant	1989
Manager	1968

Length

Max length	12
Median length	10
Mean length	8.814
Min length	7

Characters and Unicode

Total characters	88140
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Entrepreneur
2nd row	Analyst
3rd row	Engineer
4th row	Manager
5th row	Entrepreneur

Common Values

Value	Count	Frequency (%)
Entrepreneur	2034	20.3%
Analyst	2006	20.1%
Engineer	2003	20.0%
Consultant	1989	19.9%
Manager	1968	19.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
entrepreneur	2034	20.3%
analyst	2006	20.1%
engineer	2003	20.0%
consultant	1989	19.9%
manager	1968	19.7%

Most occurring characters

Value	Count	Frequency (%)
n	16026	18.2%
e	12076	13.7%
r	10073	11.4%
t	8018	9.1%
a	7931	9.0%
E	4037	4.6%
u	4023	4.6%
s	3995	4.5%
l	3995	4.5%
g	3971	4.5%
Other values (7)	13995	15.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	88140	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	16026	18.2%
e	12076	13.7%
r	10073	11.4%
t	8018	9.1%
a	7931	9.0%
E	4037	4.6%
u	4023	4.6%
s	3995	4.5%
l	3995	4.5%
g	3971	4.5%
Other values (7)	13995	15.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	88140	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	16026	18.2%
e	12076	13.7%
r	10073	11.4%
t	8018	9.1%
a	7931	9.0%
E	4037	4.6%
u	4023	4.6%
s	3995	4.5%
l	3995	4.5%
g	3971	4.5%
Other values (7)	13995	15.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	88140	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	16026	18.2%
e	12076	13.7%
r	10073	11.4%
t	8018	9.1%
a	7931	9.0%
E	4037	4.6%
u	4023	4.6%
s	3995	4.5%
l	3995	4.5%
g	3971	4.5%
Other values (7)	13995	15.9%

Annual Salary (Before MBA)
Real number (ℝ)

Distinct	9456
Distinct (%)	94.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75166.406

Minimum	30013
Maximum	119966
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	30013
5-th percentile	34857.45
Q1	52862
median	74829.5
Q3	97273
95-th percentile	115522.1
Maximum	119966
Range	89953
Interquartile range (IQR)	44411

Descriptive statistics

Standard deviation	25850.071
Coefficient of variation (CV)	0.34390457
Kurtosis	-1.191549
Mean	75166.406
Median Absolute Deviation (MAD)	22167
Skewness	0.0002858567
Sum	7.5166406 × 10⁸
Variance	6.6822615 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
102062	5	0.1%
87551	3	< 0.1%
105193	3	< 0.1%
89391	3	< 0.1%
107470	3	< 0.1%
92424	3	< 0.1%
96607	3	< 0.1%
108827	3	< 0.1%
82095	3	< 0.1%
94199	3	< 0.1%
Other values (9446)	9968	99.7%

Value	Count	Frequency (%)
30013	1	< 0.1%
30017	1	< 0.1%
30037	1	< 0.1%
30046	1	< 0.1%
30051	1	< 0.1%
30067	1	< 0.1%
30069	1	< 0.1%
30083	1	< 0.1%
30099	1	< 0.1%
30123	1	< 0.1%

Value	Count	Frequency (%)
119966	1	< 0.1%
119964	1	< 0.1%
119960	1	< 0.1%
119959	1	< 0.1%
119949	1	< 0.1%
119939	1	< 0.1%
119935	1	< 0.1%
119934	1	< 0.1%
119930	1	< 0.1%
119919	1	< 0.1%

Has Management Experience
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	6009
True	3991

Value	Count	Frequency (%)
False	6009	60.1%
True	3991	39.9%

GRE/GMAT Score
Real number (ℝ)

Distinct	550
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	524.4469

Minimum	250
Maximum	799
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	250
5-th percentile	278
Q1	390
median	524
Q3	661
95-th percentile	771
Maximum	799
Range	549
Interquartile range (IQR)	271

Descriptive statistics

Standard deviation	158.06376
Coefficient of variation (CV)	0.30139135
Kurtosis	-1.1956303
Mean	524.4469
Median Absolute Deviation (MAD)	136
Skewness	0.0075348688
Sum	5244469
Variance	24984.152
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
448	30	0.3%
408	30	0.3%
606	28	0.3%
706	28	0.3%
438	28	0.3%
416	27	0.3%
699	27	0.3%
362	27	0.3%
311	27	0.3%
272	27	0.3%
Other values (540)	9721	97.2%

Value	Count	Frequency (%)
250	16	0.2%
251	15	0.1%
252	17	0.2%
253	21	0.2%
254	14	0.1%
255	15	0.1%
256	21	0.2%
257	16	0.2%
258	19	0.2%
259	24	0.2%

Value	Count	Frequency (%)
799	19	0.2%
798	15	0.1%
797	16	0.2%
796	19	0.2%
795	16	0.2%
794	21	0.2%
793	17	0.2%
792	11	0.1%
791	20	0.2%
790	25	0.2%

Undergrad University Ranking
Real number (ℝ)

Distinct	499
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	247.0362

Minimum	1
Maximum	499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1
5-th percentile	24
Q1	121
median	243
Q3	373
95-th percentile	476
Maximum	499
Range	498
Interquartile range (IQR)	252

Descriptive statistics

Standard deviation	144.87624
Coefficient of variation (CV)	0.58645753
Kurtosis	-1.1978612
Mean	247.0362
Median Absolute Deviation (MAD)	126
Skewness	0.039464317
Sum	2470362
Variance	20989.125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	35	0.4%
133	33	0.3%
233	32	0.3%
427	32	0.3%
186	32	0.3%
234	32	0.3%
486	31	0.3%
267	31	0.3%
91	30	0.3%
266	30	0.3%
Other values (489)	9682	96.8%

Value	Count	Frequency (%)
1	26	0.3%
2	19	0.2%
3	16	0.2%
4	21	0.2%
5	26	0.3%
6	13	0.1%
7	26	0.3%
8	17	0.2%
9	21	0.2%
10	27	0.3%

Value	Count	Frequency (%)
499	21	0.2%
498	24	0.2%
497	28	0.3%
496	24	0.2%
495	23	0.2%
494	18	0.2%
493	20	0.2%
492	17	0.2%
491	23	0.2%
490	24	0.2%

Entrepreneurial Interest
Real number (ℝ)

Distinct	91
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.47783

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1.5
Q1	3.2
median	5.5
Q3	7.7
95-th percentile	9.505
Maximum	10
Range	9
Interquartile range (IQR)	4.5

Descriptive statistics

Standard deviation	2.5858643
Coefficient of variation (CV)	0.47205998
Kurtosis	-1.1923117
Mean	5.47783
Median Absolute Deviation (MAD)	2.2
Skewness	0.0103027
Sum	54778.3
Variance	6.6866942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.5	138	1.4%
1.6	131	1.3%
4.1	131	1.3%
7.5	127	1.3%
3.3	127	1.3%
1.2	125	1.2%
3.2	124	1.2%
6.1	124	1.2%
5.7	121	1.2%
6	121	1.2%
Other values (81)	8731	87.3%

Value	Count	Frequency (%)
1	53	0.5%
1.1	89	0.9%
1.2	125	1.2%
1.3	107	1.1%
1.4	112	1.1%
1.5	113	1.1%
1.6	131	1.3%
1.7	105	1.1%
1.8	112	1.1%
1.9	114	1.1%

Value	Count	Frequency (%)
10	54	0.5%
9.9	105	1.1%
9.8	120	1.2%
9.7	114	1.1%
9.6	107	1.1%
9.5	85	0.9%
9.4	117	1.2%
9.3	110	1.1%
9.2	93	0.9%
9.1	103	1.0%

Networking Importance
Real number (ℝ)

Distinct	91
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.52217

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1.5
Q1	3.3
median	5.5
Q3	7.7
95-th percentile	9.6
Maximum	10
Range	9
Interquartile range (IQR)	4.4

Descriptive statistics

Standard deviation	2.5884222
Coefficient of variation (CV)	0.4687328
Kurtosis	-1.1851145
Mean	5.52217
Median Absolute Deviation (MAD)	2.2
Skewness	-0.015318098
Sum	55221.7
Variance	6.6999295
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.6	141	1.4%
8.7	132	1.3%
3.9	131	1.3%
5.6	130	1.3%
6.4	130	1.3%
7.4	129	1.3%
9.9	127	1.3%
8.1	126	1.3%
2.9	124	1.2%
6.5	124	1.2%
Other values (81)	8706	87.1%

Value	Count	Frequency (%)
1	60	0.6%
1.1	118	1.2%
1.2	99	1.0%
1.3	108	1.1%
1.4	97	1.0%
1.5	107	1.1%
1.6	109	1.1%
1.7	120	1.2%
1.8	102	1.0%
1.9	115	1.1%

Value	Count	Frequency (%)
10	49	0.5%
9.9	127	1.3%
9.8	103	1.0%
9.7	123	1.2%
9.6	103	1.0%
9.5	118	1.2%
9.4	96	1.0%
9.3	118	1.2%
9.2	106	1.1%
9.1	108	1.1%

MBA Funding Source
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Employer	2538
Loan	2531
Scholarship	2501
Self-funded	2430

Length

Max length	11
Median length	8
Mean length	8.4669
Min length	4

Characters and Unicode

Total characters	84669
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Loan
2nd row	Loan
3rd row	Scholarship
4th row	Loan
5th row	Loan

Common Values

Value	Count	Frequency (%)
Employer	2538	25.4%
Loan	2531	25.3%
Scholarship	2501	25.0%
Self-funded	2430	24.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
employer	2538	25.4%
loan	2531	25.3%
scholarship	2501	25.0%
self-funded	2430	24.3%

Most occurring characters

Value	Count	Frequency (%)
o	7570	8.9%
l	7469	8.8%
e	7398	8.7%
p	5039	6.0%
r	5039	6.0%
a	5032	5.9%
h	5002	5.9%
n	4961	5.9%
S	4931	5.8%
f	4860	5.7%
Other values (10)	27368	32.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	84669	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	7570	8.9%
l	7469	8.8%
e	7398	8.7%
p	5039	6.0%
r	5039	6.0%
a	5032	5.9%
h	5002	5.9%
n	4961	5.9%
S	4931	5.8%
f	4860	5.7%
Other values (10)	27368	32.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	84669	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	7570	8.9%
l	7469	8.8%
e	7398	8.7%
p	5039	6.0%
r	5039	6.0%
a	5032	5.9%
h	5002	5.9%
n	4961	5.9%
S	4931	5.8%
f	4860	5.7%
Other values (10)	27368	32.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	84669	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	7570	8.9%
l	7469	8.8%
e	7398	8.7%
p	5039	6.0%
r	5039	6.0%
a	5032	5.9%
h	5002	5.9%
n	4961	5.9%
S	4931	5.8%
f	4860	5.7%
Other values (10)	27368	32.3%

Desired Post-MBA Role
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Executive	2041
Marketing Director	2027
Consultant	1986
Startup Founder	1978
Finance Manager	1968

Length

Max length	18
Median length	15
Mean length	13.3905
Min length	9

Characters and Unicode

Total characters	133905
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Finance Manager
2nd row	Startup Founder
3rd row	Consultant
4th row	Consultant
5th row	Consultant

Common Values

Value	Count	Frequency (%)
Executive	2041	20.4%
Marketing Director	2027	20.3%
Consultant	1986	19.9%
Startup Founder	1978	19.8%
Finance Manager	1968	19.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
executive	2041	12.8%
marketing	2027	12.7%
director	2027	12.7%
consultant	1986	12.4%
startup	1978	12.4%
founder	1978	12.4%
finance	1968	12.3%
manager	1968	12.3%

Most occurring characters

Value	Count	Frequency (%)
e	14050	10.5%
t	14023	10.5%
n	13881	10.4%
r	12005	9.0%
a	11895	8.9%
i	8063	6.0%
u	7983	6.0%
c	6036	4.5%
o	5991	4.5%
	5973	4.5%
Other values (14)	34005	25.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	133905	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	14050	10.5%
t	14023	10.5%
n	13881	10.4%
r	12005	9.0%
a	11895	8.9%
i	8063	6.0%
u	7983	6.0%
c	6036	4.5%
o	5991	4.5%
	5973	4.5%
Other values (14)	34005	25.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	133905	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	14050	10.5%
t	14023	10.5%
n	13881	10.4%
r	12005	9.0%
a	11895	8.9%
i	8063	6.0%
u	7983	6.0%
c	6036	4.5%
o	5991	4.5%
	5973	4.5%
Other values (14)	34005	25.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	133905	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	14050	10.5%
t	14023	10.5%
n	13881	10.4%
r	12005	9.0%
a	11895	8.9%
i	8063	6.0%
u	7983	6.0%
c	6036	4.5%
o	5991	4.5%
	5973	4.5%
Other values (14)	34005	25.4%

Expected Post-MBA Salary
Real number (ℝ)

Distinct	9614
Distinct (%)	96.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	130321.23

Minimum	60001
Maximum	199999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	60001
5-th percentile	67196.25
Q1	95320.5
median	130155.5
Q3	165757
95-th percentile	193293
Maximum	199999
Range	139998
Interquartile range (IQR)	70436.5

Descriptive statistics

Standard deviation	40598.422
Coefficient of variation (CV)	0.31152578
Kurtosis	-1.2095343
Mean	130321.23
Median Absolute Deviation (MAD)	35223
Skewness	-0.00023135815
Sum	1.3032123 × 10⁹
Variance	1.6482319 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
131677	3	< 0.1%
160308	3	< 0.1%
75646	3	< 0.1%
146400	3	< 0.1%
89976	3	< 0.1%
197611	3	< 0.1%
127597	3	< 0.1%
89534	2	< 0.1%
164278	2	< 0.1%
120534	2	< 0.1%
Other values (9604)	9973	99.7%

Value	Count	Frequency (%)
60001	1	< 0.1%
60005	1	< 0.1%
60009	1	< 0.1%
60021	1	< 0.1%
60028	1	< 0.1%
60043	1	< 0.1%
60061	1	< 0.1%
60062	1	< 0.1%
60063	1	< 0.1%
60072	1	< 0.1%

Value	Count	Frequency (%)
199999	1	< 0.1%
199998	1	< 0.1%
199963	1	< 0.1%
199961	1	< 0.1%
199947	1	< 0.1%
199940	1	< 0.1%
199899	1	< 0.1%
199868	1	< 0.1%
199858	1	< 0.1%
199855	1	< 0.1%

Location Preference (Post-MBA)
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

International	5083
Domestic	4917

Length

Max length	13
Median length	13
Mean length	10.5415
Min length	8

Characters and Unicode

Total characters	105415
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	International
2nd row	International
3rd row	Domestic
4th row	International
5th row	Domestic

Common Values

Value	Count	Frequency (%)
International	5083	50.8%
Domestic	4917	49.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
international	5083	50.8%
domestic	4917	49.2%

Most occurring characters

Value	Count	Frequency (%)
n	15249	14.5%
t	15083	14.3%
a	10166	9.6%
i	10000	9.5%
e	10000	9.5%
o	10000	9.5%
I	5083	4.8%
r	5083	4.8%
l	5083	4.8%
D	4917	4.7%
Other values (3)	14751	14.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	105415	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	15249	14.5%
t	15083	14.3%
a	10166	9.6%
i	10000	9.5%
e	10000	9.5%
o	10000	9.5%
I	5083	4.8%
r	5083	4.8%
l	5083	4.8%
D	4917	4.7%
Other values (3)	14751	14.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	105415	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	15249	14.5%
t	15083	14.3%
a	10166	9.6%
i	10000	9.5%
e	10000	9.5%
o	10000	9.5%
I	5083	4.8%
r	5083	4.8%
l	5083	4.8%
D	4917	4.7%
Other values (3)	14751	14.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	105415	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	15249	14.5%
t	15083	14.3%
a	10166	9.6%
i	10000	9.5%
e	10000	9.5%
o	10000	9.5%
I	5083	4.8%
r	5083	4.8%
l	5083	4.8%
D	4917	4.7%
Other values (3)	14751	14.0%

Reason for MBA
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

Networking	2546
Career Growth	2519
Skill Enhancement	2513
Entrepreneurship	2422

Length

Max length	17
Median length	16
Mean length	13.968
Min length	10

Characters and Unicode

Total characters	139680
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Entrepreneurship
2nd row	Career Growth
3rd row	Skill Enhancement
4th row	Entrepreneurship
5th row	Skill Enhancement

Common Values

Value	Count	Frequency (%)
Networking	2546	25.5%
Career Growth	2519	25.2%
Skill Enhancement	2513	25.1%
Entrepreneurship	2422	24.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
networking	2546	16.9%
career	2519	16.8%
growth	2519	16.8%
skill	2513	16.7%
enhancement	2513	16.7%
entrepreneurship	2422	16.1%

Most occurring characters

Value	Count	Frequency (%)
e	19876	14.2%
r	17369	12.4%
n	14929	10.7%
t	10000	7.2%
i	7481	5.4%
h	7454	5.3%
o	5065	3.6%
w	5065	3.6%
k	5059	3.6%
	5032	3.6%
Other values (13)	42350	30.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	139680	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	19876	14.2%
r	17369	12.4%
n	14929	10.7%
t	10000	7.2%
i	7481	5.4%
h	7454	5.3%
o	5065	3.6%
w	5065	3.6%
k	5059	3.6%
	5032	3.6%
Other values (13)	42350	30.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	139680	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	19876	14.2%
r	17369	12.4%
n	14929	10.7%
t	10000	7.2%
i	7481	5.4%
h	7454	5.3%
o	5065	3.6%
w	5065	3.6%
k	5059	3.6%
	5032	3.6%
Other values (13)	42350	30.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	139680	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	19876	14.2%
r	17369	12.4%
n	14929	10.7%
t	10000	7.2%
i	7481	5.4%
h	7454	5.3%
o	5065	3.6%
w	5065	3.6%
k	5059	3.6%
	5032	3.6%
Other values (13)	42350	30.3%

Online vs. On-Campus MBA
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

On-Campus	5005
Online	4995

Length

Max length	9
Median length	9
Mean length	7.5015
Min length	6

Characters and Unicode

Total characters	75015
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	On-Campus
2nd row	Online
3rd row	Online
4th row	On-Campus
5th row	Online

Common Values

Value	Count	Frequency (%)
On-Campus	5005	50.0%
Online	4995	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
on-campus	5005	50.0%
online	4995	50.0%

Most occurring characters

Value	Count	Frequency (%)
n	14995	20.0%
O	10000	13.3%
-	5005	6.7%
C	5005	6.7%
a	5005	6.7%
m	5005	6.7%
p	5005	6.7%
u	5005	6.7%
s	5005	6.7%
l	4995	6.7%
Other values (2)	9990	13.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	75015	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	14995	20.0%
O	10000	13.3%
-	5005	6.7%
C	5005	6.7%
a	5005	6.7%
m	5005	6.7%
p	5005	6.7%
u	5005	6.7%
s	5005	6.7%
l	4995	6.7%
Other values (2)	9990	13.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	75015	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	14995	20.0%
O	10000	13.3%
-	5005	6.7%
C	5005	6.7%
a	5005	6.7%
m	5005	6.7%
p	5005	6.7%
u	5005	6.7%
s	5005	6.7%
l	4995	6.7%
Other values (2)	9990	13.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	75015	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	14995	20.0%
O	10000	13.3%
-	5005	6.7%
C	5005	6.7%
a	5005	6.7%
m	5005	6.7%
p	5005	6.7%
u	5005	6.7%
s	5005	6.7%
l	4995	6.7%
Other values (2)	9990	13.3%

Decided to Pursue MBA?
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

True	5907
False	4093

Value	Count	Frequency (%)
True	5907	59.1%
False	4093	40.9%

	Age	Annual Salary (Before MBA)	Current Job Title	Decided to Pursue MBA?	Desired Post-MBA Role	Entrepreneurial Interest	Expected Post-MBA Salary	GRE/GMAT Score	Gender	Has Management Experience	Location Preference (Post-MBA)	MBA Funding Source	Networking Importance	Online vs. On-Campus MBA	Person ID	Reason for MBA	Undergrad University Ranking	Undergraduate GPA	Undergraduate Major	Years of Work Experience
Age	1.000	0.011	0.000	0.000	0.000	0.010	0.016	0.002	0.000	0.000	0.000	0.000	-0.007	0.000	0.006	0.000	-0.004	0.015	0.000	-0.001
Annual Salary (Before MBA)	0.011	1.000	0.000	0.000	0.000	-0.000	0.020	-0.006	0.000	0.000	0.021	0.010	0.002	0.000	0.002	0.000	-0.001	0.002	0.015	-0.022
Current Job Title	0.000	0.000	1.000	0.000	0.000	0.000	0.018	0.000	0.011	0.000	0.000	0.000	0.000	0.019	0.000	0.003	0.012	0.009	0.000	0.000
Decided to Pursue MBA?	0.000	0.000	0.000	1.000	0.000	0.000	0.024	0.000	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.013	0.000	0.000	0.007	0.020
Desired Post-MBA Role	0.000	0.000	0.000	0.000	1.000	0.000	0.010	0.006	0.000	0.000	0.000	0.000	0.000	0.000	0.018	0.017	0.000	0.018	0.000	0.000
Entrepreneurial Interest	0.010	-0.000	0.000	0.000	0.000	1.000	0.003	-0.020	0.009	0.003	0.000	0.010	-0.002	0.008	-0.005	0.011	0.009	0.014	0.000	0.012
Expected Post-MBA Salary	0.016	0.020	0.018	0.024	0.010	0.003	1.000	0.004	0.021	0.025	0.000	0.000	0.003	0.000	0.002	0.000	0.011	-0.001	0.017	-0.002
GRE/GMAT Score	0.002	-0.006	0.000	0.000	0.006	-0.020	0.004	1.000	0.000	0.000	0.022	0.000	-0.007	0.000	0.021	0.000	-0.003	0.013	0.000	0.015
Gender	0.000	0.000	0.011	0.000	0.000	0.009	0.021	0.000	1.000	0.000	0.000	0.021	0.000	0.014	0.030	0.000	0.016	0.000	0.000	0.000
Has Management Experience	0.000	0.000	0.000	0.000	0.000	0.003	0.025	0.000	0.000	1.000	0.000	0.013	0.000	0.000	0.000	0.000	0.000	0.025	0.020	0.008
Location Preference (Post-MBA)	0.000	0.021	0.000	0.015	0.000	0.000	0.000	0.022	0.000	0.000	1.000	0.005	0.015	0.000	0.000	0.018	0.000	0.003	0.012	0.000
MBA Funding Source	0.000	0.010	0.000	0.000	0.000	0.010	0.000	0.000	0.021	0.013	0.005	1.000	0.000	0.016	0.018	0.000	0.014	0.000	0.000	0.022
Networking Importance	-0.007	0.002	0.000	0.000	0.000	-0.002	0.003	-0.007	0.000	0.000	0.015	0.000	1.000	0.027	0.004	0.000	-0.000	0.012	0.000	-0.002
Online vs. On-Campus MBA	0.000	0.000	0.019	0.000	0.000	0.008	0.000	0.000	0.014	0.000	0.000	0.016	0.027	1.000	0.000	0.000	0.000	0.000	0.015	0.000
Person ID	0.006	0.002	0.000	0.000	0.018	-0.005	0.002	0.021	0.030	0.000	0.000	0.018	0.004	0.000	1.000	0.000	0.006	0.005	0.022	0.002
Reason for MBA	0.000	0.000	0.003	0.013	0.017	0.011	0.000	0.000	0.000	0.000	0.018	0.000	0.000	0.000	0.000	1.000	0.000	0.017	0.012	0.000
Undergrad University Ranking	-0.004	-0.001	0.012	0.000	0.000	0.009	0.011	-0.003	0.016	0.000	0.000	0.014	-0.000	0.000	0.006	0.000	1.000	0.002	0.015	0.006
Undergraduate GPA	0.015	0.002	0.009	0.000	0.018	0.014	-0.001	0.013	0.000	0.025	0.003	0.000	0.012	0.000	0.005	0.017	0.002	1.000	0.026	-0.010
Undergraduate Major	0.000	0.015	0.000	0.007	0.000	0.000	0.017	0.000	0.000	0.020	0.012	0.000	0.000	0.015	0.022	0.012	0.015	0.026	1.000	0.017
Years of Work Experience	-0.001	-0.022	0.000	0.020	0.000	0.012	-0.002	0.015	0.000	0.008	0.000	0.022	-0.002	0.000	0.002	0.000	0.006	-0.010	0.017	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Person ID	Age	Gender	Undergraduate Major	Undergraduate GPA	Years of Work Experience	Current Job Title	Annual Salary (Before MBA)	Has Management Experience	GRE/GMAT Score	Undergrad University Ranking	Entrepreneurial Interest	Networking Importance	MBA Funding Source	Desired Post-MBA Role	Expected Post-MBA Salary	Location Preference (Post-MBA)	Reason for MBA	Online vs. On-Campus MBA	Decided to Pursue MBA?
0	1	27	Male	Arts	3.18	8	Entrepreneur	90624	No	688	185	7.9	7.6	Loan	Finance Manager	156165	International	Entrepreneurship	On-Campus	Yes
1	2	24	Male	Arts	3.03	4	Analyst	53576	Yes	791	405	3.8	4.1	Loan	Startup Founder	165612	International	Career Growth	Online	No
2	3	33	Female	Business	3.66	9	Engineer	79796	No	430	107	6.7	5.5	Scholarship	Consultant	122248	Domestic	Skill Enhancement	Online	No
3	4	31	Male	Engineering	2.46	1	Manager	105956	No	356	257	1.0	5.3	Loan	Consultant	123797	International	Entrepreneurship	On-Campus	No
4	5	28	Female	Business	2.75	9	Entrepreneur	96132	No	472	338	9.5	4.9	Loan	Consultant	197509	Domestic	Skill Enhancement	Online	Yes
5	6	33	Male	Business	3.58	3	Manager	101925	No	409	280	3.4	7.1	Scholarship	Marketing Director	99591	International	Networking	On-Campus	No
6	7	25	Female	Arts	3.06	5	Consultant	81962	No	369	158	9.2	8.3	Self-funded	Executive	119223	International	Networking	Online	No
7	8	27	Male	Engineering	2.80	6	Engineer	100072	Yes	588	190	2.9	9.6	Loan	Finance Manager	199447	International	Entrepreneurship	On-Campus	Yes
8	9	30	Female	Arts	2.06	6	Entrepreneur	118689	Yes	521	455	9.1	4.7	Scholarship	Executive	76037	Domestic	Career Growth	On-Campus	Yes
9	10	23	Female	Arts	3.51	3	Entrepreneur	112387	No	671	411	6.0	7.3	Scholarship	Startup Founder	92294	International	Entrepreneurship	Online	Yes

	Person ID	Age	Gender	Undergraduate Major	Undergraduate GPA	Years of Work Experience	Current Job Title	Annual Salary (Before MBA)	Has Management Experience	GRE/GMAT Score	Undergrad University Ranking	Entrepreneurial Interest	Networking Importance	MBA Funding Source	Desired Post-MBA Role	Expected Post-MBA Salary	Location Preference (Post-MBA)	Reason for MBA	Online vs. On-Campus MBA	Decided to Pursue MBA?
9990	9991	23	Male	Economics	3.41	4	Manager	63239	No	711	66	8.9	6.7	Self-funded	Executive	193284	Domestic	Networking	On-Campus	Yes
9991	9992	24	Female	Science	3.36	7	Entrepreneur	60072	No	560	354	1.9	3.1	Self-funded	Finance Manager	174191	Domestic	Entrepreneurship	Online	No
9992	9993	31	Female	Engineering	3.10	8	Engineer	39909	Yes	307	102	8.5	9.9	Self-funded	Finance Manager	149757	Domestic	Career Growth	On-Campus	Yes
9993	9994	25	Male	Arts	3.40	8	Entrepreneur	76025	No	311	233	1.2	7.7	Employer	Startup Founder	86385	Domestic	Skill Enhancement	Online	Yes
9994	9995	23	Male	Business	3.28	7	Entrepreneur	92456	Yes	256	190	1.6	2.7	Self-funded	Finance Manager	135949	International	Networking	Online	Yes
9995	9996	33	Female	Economics	3.55	5	Analyst	109172	Yes	524	100	9.2	8.0	Loan	Startup Founder	69000	International	Networking	Online	Yes
9996	9997	30	Female	Business	2.48	5	Manager	82515	Yes	330	362	7.4	8.5	Scholarship	Consultant	131054	Domestic	Entrepreneurship	On-Campus	No
9997	9998	31	Female	Economics	2.86	8	Manager	34152	Yes	681	308	6.8	8.8	Loan	Consultant	100806	Domestic	Networking	On-Campus	Yes
9998	9999	22	Female	Arts	2.30	1	Engineer	61897	No	481	190	5.7	7.7	Self-funded	Marketing Director	115872	International	Networking	Online	Yes
9999	10000	22	Male	Arts	2.86	2	Manager	111499	No	710	226	8.0	1.7	Employer	Marketing Director	103245	Domestic	Career Growth	On-Campus	No

Overview

Variables

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Common Values

Length

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Common Values

Length

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Most occurring blocks

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Common Values

Length

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Most occurring characters

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(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

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(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

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Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

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(unknown)